Author’s note: This article is for everyday DeepSeek users. It explains how to find the source of a “server busy” error and what temporary alternatives are available. On the afternoon of November 3, 2026, several users posted in quick succession on the tech community V2EX. Their titles were blunt: “DeepSeek is down” and “Is DeepSeek…
Author’s note: Starting with the f(t) rendering principle and the SenseNova 6.8 Code2Video case, this article uses four questions to help you choose between code-based and pixel-based video generation. If you create science explainers, formula walkthroughs, or data animations, you’ve probably run into the same problem: the visuals look good, but the text is wrong…
Author’s note: This article breaks down how Flint-interactive uses “semantic events + update operations” to reduce the cost and error rate of agent-generated interactive charts, and explores three integration paths. If you’re building an AI agent for data analysis or reporting, you’ve probably run into this: an agent can quickly create a static chart, but…
Author’s note: This article breaks down input, output, cache, and reasoning tokens, along with multimodal billing, in Large Language Model API bills. It also covers practical ways to reconcile usage against request logs, investigate sudden cost changes, and respond to pricing updates. You open your bill at the end of the month and notice that…
Author’s note: Stanford researchers found that 44% of widely cited LLM findings are outdated. Among findings with an estimated expiration date, the average lifespan was just 15.7 months. This article turns the research into a model-selection retesting checklist development teams can use. “This model can’t count the r’s in strawberry.” “Information in the middle of…
Author’s note: A troubleshooting guide for developers working with model APIs in production. Using a three-layer framework—your own request, the gateway platform, and the upstream model—it explains how to pinpoint failures with error codes, logs, and a minimal curl reproduction, and what information to include in a support request. An alert goes off in the…
Author’s note: When comparing model costs, looking only at the price per million tokens can lead you to the wrong choice. This article explains how to calculate cost using “unit price × actual token consumption” and walks you through testing models on a small sample of your own tasks. When choosing a model, many teams…
Author’s note: Using Heimstaden’s environmental risk assessment project as an example, this article breaks down how non-developers can work with Codex on data discovery, cleaning, and workflow building—and why ownership of the methodology and human validation must remain with domain experts. Many business analysts know their industry but don’t write code. When a project involves…
Author’s note: When multiple AI coding agents work in parallel, how can you reduce the window switching caused by permission approvals without loosening control over file writes and command execution? This article offers a framework for making those decisions at the workflow level. If you regularly run two or three Claude Code sessions alongside a…
Author’s note: Using a photo-to-dance-video tool’s own product description, publicly released on November 3, 2026, as an example, we’ll break down what these tools can and can’t do, how they charge, and what rights you need for your materials—so you can set realistic expectations before your first generation. Turning a photo of your cat, dog,…
